Some small and midsize construction businesses have been slow to embrace AI. Perhaps you’re a tad skeptical yourself. Can the industry really benefit from this exploding technology in all its many forms? One way to gauge a potential innovation’s staying power is to look at whether and how large construction businesses are putting it to the test. And, increasingly, they’re using AI to streamline and improve the estimating process.

The case in a nutshell

U.S. construction spending totaled approximately $1.45 trillion during the first eight months of 2026, down 3.1% from the same period last year. However, demand for data centers, power plants and health care facilities remains relatively strong. The large construction businesses that bid on these complex jobs must process vast amounts of cost information quickly and accurately. And many have been using AI to do it.

Introducing AI into your estimating process may also boost efficiency and precision. Used well, it can help eliminate bottlenecks and free your staff to focus on higher-value work, such as evaluating scope, assessing risk and crafting more competitive bids.

The robot’s role

To be clear, AI-driven estimating tools can’t replace the expertise and judgment of experienced human estimators. Rather, their role is to handle certain repetitive, time-consuming tasks — particularly those related to takeoff.

For example, depending on their capabilities and available data, AI-driven estimating tools can quickly gather relevant cost data from various sources and apply algorithms to perform calculations. Potential sources they can draw from include:

1. Previous bids and projects,
2. Various details of building information models, and
3. Market trends and statistics.

During the takeoff stage, some tools can identify design elements in drawings, such as doors or ductwork, and automatically calculate quantities to develop cost estimates. These tools may process information much faster than traditional manual methods, potentially reducing completion time for certain tasks from hours to minutes. Some AI-enabled systems can use predictive analytics to flag potential risks, such as material price increases or supply chain disruptions, and update projections as new information becomes available.

AI involvement in this area also reduces the risk of human error — and not just by automating manual data entry. You can also use AI-driven tools to do a “first pass” on an initial estimate and flag anomalies compared with previous projects for your estimators to review. Pattern recognition and other capabilities can help improve accuracy within individual estimates and promote greater consistency across projects.

Ultimately, integrating AI into your estimating workflow may speed up the process. And with the time and resource savings, you might be able to bid on more projects without hiring more estimators.

Need for guardrails

However, a couple of significant caveats are worth noting. You’ve no doubt heard the saying “garbage in, garbage out” — that’s especially true when it comes to AI-powered estimating.

AI can’t compensate for poor-quality data. If the underlying data is inaccurate, incomplete or outdated, the resulting estimates may be unreliable. Sloppy cost-code application, failure to update information on completed projects, or a lack of standards (or enforcement of standards) can corrupt the output and hurt your bottom line.

You also may have heard the term “human in the loop.” It refers to the need for human involvement at some point in an AI workflow to ensure accuracy and accountability. In an estimating context, this means that your estimators should have the final say after reviewing and analyzing the output to reach realistic conclusions.

Take it slow

AI isn’t coming to construction — it’s already here. But that doesn’t mean you should go “all in” without carefully scrutinizing costs, reliability and other critical issues. We can help you evaluate the financial implications of investing in AI-driven estimating tools and determine whether the potential benefits justify the costs.

© 2026